课程信息
4.7
2,112 个评分
475 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为18 小时

建议:5 weeks, 8-12 hours per week...
可选语言

英语(English)

字幕:英语(English), 韩语, 俄语(Russian), 中文(简体)

您将获得的技能

Data AnalysisMySQLTeradataSQL
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为18 小时

建议:5 weeks, 8-12 hours per week...
可选语言

英语(English)

字幕:英语(English), 韩语, 俄语(Russian), 中文(简体)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 1 小时

About this Specialization and Course

The Coursera Specialization, "Managing Big Data with MySQL" is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to a real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more about the specialization, please review the first lesson below, "Specialization Introduction: Excel to MySQL: Analytic Techniques for Business." In this fourth course of this specialization, "Managing Big Data with MySQL” you will learn how relational databases work and how they are used in business analysis. Specifically, you will: (1) Describe the structure of relational databases; (2) Interpret and create entity-relationship diagrams and relational schemas that describe the contents of specific databases; (3) Write queries that retrieve and sort data that meet specific criteria, and retrieve such data from real MySQL and Teradata business databases that contain over 1 million rows of data; (4) Execute practices that limit the impact of your queries on other coworkers; (5) Summarize rows of data using aggregate functions, and segment aggregations according to specified variables; (6) Combine and manipulate data from multiple tables across a database; (7) Retrieve records and compute calculations that are dependent on dynamic data features; (8) Translate data analysis questions into SQL queries that accommodate the types of anomalies found in real data sets. By the end of this course, you will have a clear understanding of how relational databases work and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world. To get started with this course, you can begin with, "Introduction to Managing Big Data with MySQL." Please take some time to not only watch the videos, but also read through the course overview as there is extremely important course information in the overview. ...
Reading
3 个视频 (总计 16 分钟), 4 个阅读材料
Video3 个视频
Welcome to Managing Big Data with MySQL1分钟
What You Will Learn in This Course10分钟
Reading4 个阅读材料
Specialization Overview10分钟
Course Overview10分钟
IMPORTANT FOR EVERY LEARNER10分钟
Special Thanks!5分钟
完成时间(小时)
完成时间为 5 小时

Understanding Relational Databases

Welcome to week 1! This week you will learn how relational databases are organized, and practice making and interpreting Entity Relationship (ER) diagrams and relational schemas that describe the structure of data stored in a database. <p>By the end of the week, you will be able to:<ul><li>Describe the fundamental principles of relational database design <li>Interpret Entity Relationship (ER) diagrams and Entity Relationship (ER) schemas, and</li><li>Create your own ER diagrams and relational schemas using a software tool called ERDPlus that you will use to aid your query-writing later in the course.</li></ul><p>This week’s exercises are donated from a well-known Database Systems textbook, and will help you deepen and strengthen your understanding of how relational databases are organized. This deeper understanding will help you navigate complicated business databases, and allow you to write more efficient queries. At the conclusion of the week, you will test your understanding of database design principles by completing the Week 1 graded quiz.</p> <p>To get started, please begin with the video “Problems with Having a Lot of Data Used by a Lot of People.” <p>As always, if you have any questions, post them to the Discussions. <p>I hope you enjoy this week's materials!...
Reading
9 个视频 (总计 55 分钟), 7 个阅读材料, 1 个测验
Video9 个视频
How Relational Databases Help Solve Those Problems8分钟
Database Design Tools That Will Help You Learn SQL Faster4分钟
How Entity-Relationship Diagrams Work8分钟
Database Structures Illustrated by Entity-Relationship Diagrams6分钟
Relational Schemas9分钟
How to Make Entity-Relationship Diagrams using ERDPlus4分钟
How to Make Relational Schemas using ERDPlus4分钟
Wrapping up Week 1分钟
Reading7 个阅读材料
Entity-Relationship Written Exercises分钟
Entity-Relationship Written Exercises: Answer Key5分钟
Relational Schemas Written Exercises分钟
Relational Schemas Written Exercises: Answer Key5分钟
Dognition Relational Schema Practice Exercise30分钟
Dillard's Relational Schema Practice Questions30分钟
Week One Quiz: Answers and Feedback10分钟
Quiz1 个练习
Week 1 Graded Quiz45分钟
2
完成时间(小时)
完成时间为 8 小时

Queries to Extract Data from Single Tables

Welcome to week 2! This week, you will start interacting with business databases. You will write SQL queries that query data from two real companies. One data set, donated from a local start-up in Durham, North Carolina called Dognition, is a MySQL database containing tables of over 1 million rows. The other data set, donated from a national US department store chain called Dillard’s, is a Teradata database containing tables with over a hundred million rows. By the end of the week, you will be able to:1. Use two different database user interfaces2. Write queries to verify and describe all the contents of the Dognition MySQL database and the Dillard’s Teradata database3. Retrieve data that meet specific criteria in a socially-responsible using SELECT, FROM, WHERE, LIMIT, and TOP clauses, and4. Format the data you retrieve using aliases, DISTINCT clauses, and ORDER BY clauses.Make sure to watch the instructional videos about how to use the database interfaces we have established for this course, and complete both the MySQL and the Teradata exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the Week 2 graded quiz.To get started, please begin with the video “Introduction to Week 2.” As always, if you have any questions, post them to the Discussions. Enjoy this week's materials! ...
Reading
8 个视频 (总计 60 分钟), 11 个阅读材料, 5 个测验
Video8 个视频
Meet Your Dognition Data11分钟
Meet Your Dillard's Data2分钟
Introduction to Query Syntax7分钟
How to Use Jupyter Notebooks16分钟
How to Use Your Jupyter Account8分钟
How to Use Teradata Viewpoint and SQL Scratchpad10分钟
You Have Already Become a Different Level of Business Analyst1分钟
Reading11 个阅读材料
Dognition Database Information10分钟
Dillard's Database Information10分钟
How to Use Jupyter (Written Instructions)10分钟
MySQL Exercise 1: Answer Key10分钟
MySQL Exercise 2: Answer Key10分钟
MySQL Exercise 3: Answer Key10分钟
How to Login to and Use Teradata Viewpoint (Written Instructions)10分钟
Week 2 Teradata Practice Exercises Guide30分钟
Introduction to Teradata10分钟
Read Before Starting Quiz 210分钟
Week 2 Quiz: Answers and Feedback10分钟
Quiz1 个练习
Week 2 Graded Quiz using Teradata30分钟
3
完成时间(小时)
完成时间为 10 小时

Queries to Summarize Groups of Data from Multiple Tables

<p>Welcome to week 3! This week, we are going to learn the SQL syntax that allows you to segment your data into separate categories and segment. We are also going to learn how to combine data stored in separate tables.</p><p>By the end of the week, you will be able to:</p><ul><li>Summarize values across entire columns, and break those summaries up according to specific variables or values in others columns using GROUP BY and HAVING clauses</li><li>Combine information from multiple tables using inner and outer joins</li><li>Use strategies to manage joins between tables with duplicate rows, many-to-many relationships, and atypical configurations</li><li>Practice one of the slightly more challenging use cases of aggregation functions, and</li><li>Work with the Dognition database to learn more about how MySQL handles mismatched aggregation levels.</li></ul><p>Make sure to watch the videos about joins, and complete both the MySQL and the Teradata exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the Week 3 graded quiz.</p><p>We strongly encourage you to use the course Discussions to help each other with questions. </p> <p>To get started, please begin with the video 'Welcome to Week 3.’</p><p>I hope you enjoy this week’s materials!</p>...
Reading
6 个视频 (总计 29 分钟), 7 个阅读材料, 6 个测验
Video6 个视频
Habits that Help You Avoid Mistakes4分钟
What are Joins?8分钟
Joins with Many to Many Relationships and Duplicates6分钟
A Note about Our Join Examples2分钟
No More Waiting to Retrieve Your Data分钟
Reading7 个阅读材料
MySQL Exercise 4: Answer Key10分钟
MySQL Exercise 5: Answer Key10分钟
There is NO Answer Key for MySQL Exercise 65分钟
MySQL Exercise 7: Answer Key10分钟
MySQL Exercise 8: Answer Key10分钟
Week 3 Teradata Practice Exercises Guide分钟
Week 3 Quiz: Answers and Feedback10分钟
Quiz1 个练习
Week 3 Graded Quiz using Teradata15分钟
4
完成时间(小时)
完成时间为 11 小时

Queries to Address More Detailed Business Questions

<p>Welcome to week 4, the final week of Managing Big Data with MySQL! This week you will practice integrating the SQL syntax you’ve learn so far into queries that address analysis questions typical of those you will complete as a business data analyst.</p> <p>By the end of the week, you will be able to:</p><ul><li>Design and execute subqueries</li><li>Introduce logical conditions into your queries using IF and CASE statements</li><li>Implement analyses that accommodate missing data or data mistakes, and</li><li>Write complex queries that incorporate many tables and clauses.</li></ul><p>By the end of this week you will feel confident claiming that you know how to write SQL queries to create business value. Due to the extensive nature of the queries we will practice this week, we have put the graded quiz that tests your understanding of the SQL strategies you will practice in its own week rather than including it in this week’s materials. </p> <p>Make sure to complete both the MySQL exercises and the Teradata exercises, and we strongly encourage you to use the course Discussions to help each other with questions. </p><p>To get started, please begin with the video 'Welcome to Week 4.’</p><p>I hope you enjoy this week’s materials!</p>...
Reading
2 个视频 (总计 9 分钟), 6 个阅读材料, 4 个测验
Video2 个视频
Start with an Analysis Plan5分钟
Reading6 个阅读材料
MySQL Exercise 9: Answer Key10分钟
MySQL Exercise 10: Answer Key10分钟
Dognition Structured Pyramid Analysis Plan (SPAP)30分钟
MySQL Exercise 11: Answer Key10分钟
MySQL Exercise 12: Answer Key10分钟
No Week Four Quiz5分钟
4.7
475 个审阅Chevron Right
职业方向

39%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

20%

加薪或升职

热门审阅

创建者 SJNov 6th 2016

It was an Awesome course. Really enjoyed doing all the exercises. Now I feel quite confident to write any queries.\n\nSpecial Thanks to Professor Jana Schaich Borg for teaching so wonderfully!!!!!

创建者 AZFeb 1st 2016

Great course! It takes you from zero knowledge of SQL to being able to write quite complicated queries, and being ready for most of standard SQL questions in job interviews. Strongly recommended!

讲师

Avatar

Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
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Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

关于 Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

关于 Excel to MySQL: Analytic Techniques for Business 专项课程

Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion....
Excel to MySQL: Analytic Techniques for Business

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